rc.feature.normalize.tic: rc.feature.normalize.tic
In cbroeckl/RAMClustR: Mass Spectrometry Metabolomics Feature Clustering and Interpretation
View source: R/rc.feature.normalize.tic.R
rc.feature.normalize.tic R Documentation
rc.feature.normalize.tic
Description
extractor for xcms objects in preparation for clustering
Usage
rc.feature.normalize.tic(ramclustObj = NULL)
Arguments
ramclustObj
ramclustObj containing MSdata with optional MSMSdata (MSe, DIA, idMSMS)
Details
This function offers normalization by total extracted ion signal. it is recommended to first run 'rc.feature.filter.blanks' to remove non-sample derived signal.
Value
ramclustR object with total extracted ion normalized data.
Author(s)
Corey Broeckling
References
Broeckling CD, Afsar FA, Neumann S, Ben-Hur A, Prenni JE. RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data. Anal Chem. 2014 Jul 15;86(14):6812-7. doi: 10.1021/ac501530d. Epub 2014 Jun 26. PubMed PMID: 24927477.
cbroeckl/RAMClustR documentation built on Sept. 1, 2024, 1:50 a.m.
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View source: R/rc.feature.normalize.tic.R
| rc.feature.normalize.tic | R Documentation |
rc.feature.normalize.tic
Description
extractor for xcms objects in preparation for clustering
Usage
rc.feature.normalize.tic(ramclustObj = NULL)
Arguments
ramclustObj |
ramclustObj containing MSdata with optional MSMSdata (MSe, DIA, idMSMS) |
Details
This function offers normalization by total extracted ion signal. it is recommended to first run 'rc.feature.filter.blanks' to remove non-sample derived signal.
Value
ramclustR object with total extracted ion normalized data.
Author(s)
Corey Broeckling
References
Broeckling CD, Afsar FA, Neumann S, Ben-Hur A, Prenni JE. RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data. Anal Chem. 2014 Jul 15;86(14):6812-7. doi: 10.1021/ac501530d. Epub 2014 Jun 26. PubMed PMID: 24927477.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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